Short Trade on FXS 22 Sep 2025 at 08:39:49

Take profit at 2.4824 (2.92 %) and Stop Loss at 2.5943 (1.46 %)

Short Trade on FXS

The 22 Sep 2025 at 08:39:49

With 214.4166 FXS at 2.557$ per unit.

Position size of 548.2632 $

Take profit at 2.4824 (2.92 %) and Stop Loss at 2.5943 (1.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.17
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.619941

15m : -0.010248

1H : 0.006146

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.02487370037
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 2.51851
  4. ema21 : 2.55977
  5. ema50 : 2.61137
  6. ema100 : 2.6531
  7. price_ema9_diff : 0.0152808
  8. ema9_ema21_diff : -0.0161197
  9. ema21_ema50_diff : -0.0197585
  10. price_ema100_diff : -0.0362251
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.37087
  14. ema_slope_21 : -0.277915
  15. ema_slope_50 : -0.168164
  16. ema_slope_100 : -0.10663
  17. rsi : 0.476454
  18. adx : 0.495696
  19. kc_percentage : 0.500136
  20. kc_width_percentage : 0.0899872
  21. volume_ema_diff : 1.57878
  22. volume_ema1 : 576956.75027438
  23. volume_ema2 : 223732.16253425
  24. chop : 16.9598
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 2.49777
  29. ema21 : 2.49639
  30. ema50 : 2.52785
  31. ema100 : 2.56635
  32. price_ema9_diff : 0.0237114
  33. ema9_ema21_diff : 0.000552628
  34. ema21_ema50_diff : -0.0124468
  35. price_ema100_diff : -0.00364495
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0438003
  39. ema_slope_21 : -0.0421809
  40. ema_slope_50 : -0.0818387
  41. ema_slope_100 : -0.0701291
  42. rsi : 0.563415
  43. adx : 0.393156
  44. kc_percentage : 0.945944
  45. kc_width_percentage : 0.053784
  46. volume_ema_diff : 1.86705
  47. volume_ema1 : 312609.30446937
  48. volume_ema2 : 109035.05976947
  49. chop : 38.0578
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 2.51237
  54. ema21 : 2.49338
  55. ema50 : 2.48932
  56. ema100 : 2.50502
  57. price_ema9_diff : 0.0177629
  58. ema9_ema21_diff : 0.00761631
  59. ema21_ema50_diff : 0.00162956
  60. price_ema100_diff : 0.0207498
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.129963
  64. ema_slope_21 : 0.0563366
  65. ema_slope_50 : 0.0112131
  66. ema_slope_100 : -0.0113353
  67. rsi : 0.680915
  68. adx : 0.297215
  69. kc_percentage : 1.02789
  70. kc_width_percentage : 0.0465563
  71. volume_ema_diff : 2.61625
  72. volume_ema1 : 207118.21203758
  73. volume_ema2 : 57274.291710328
  74. chop : 12.0545
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112969
  80. 5m_price_ema100_diff:
    -0.00421117
  81. 5m_price:
    112494
  82. 5m_correlation_with_coin:
    0.619941
  83. btc_indicators
  84. 15m_ema100:
    114040
  85. 15m_price_ema100_diff:
    -0.0130133
  86. 15m_price:
    112556
  87. 15m_correlation_with_coin:
    -0.010248
  88. btc_indicators
  89. 1H_ema100:
    115429
  90. 1H_price_ema100_diff:
    -0.0254272
  91. 1H_price:
    112494
  92. 1H_correlation_with_coin:
    0.006146
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
08:39:49
22 Sep 2025
09:05:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.557 2.5943 2.4824 2 0.803
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 2.557
  • Stop Loss: 2.5943
  • Take Profit: 2.4824

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5943 - 2.557 = 0.0373

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.557 - 2.4824 = 0.0746

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0746 / 0.0373 = 2

📌 Position Size

Amount Margin Quantity Leverage
548.2632 100 214.4166 5.48
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0373

Taille de position = 8 / 0.0373 = 214.48

Taille de position USD = 214.48 x 2.557 = 548.43

Donc, tu peux acheter 214.48 avec un stoploss a 2.5943

Avec un position size USD de 548.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 214.48 x 0.0373 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 214.48 x 0.0746 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 214.48
  • Taille de position USD 548.43
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.92 % 16 $
SL % Target SL $ Target
1.46 % 8 $
PNL PNL %
-8 $ -1.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8381 % 126.01 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.4824
            [entry_price] => 2.557
            [stop_loss] => 2.59803
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.4824
            [entry_price] => 2.557
            [stop_loss] => 2.60176
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 09:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.4824
            [entry_price] => 2.557
            [stop_loss] => 2.60549
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 09:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.4824
            [entry_price] => 2.557
            [stop_loss] => 2.61295
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 09:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.08
            [rr_ratio] => 0.15
            [high] => 2.63700000
            [low] => 2.54500000
            [mfe_pct] => 0.47
            [mae_pct] => 3.13
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T08:39:49-04:00
            [end_at] => 2025-09-22T10:39:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.14
            [max_drawdown] => 0.08
            [rr_ratio] => 1.75
            [high] => 2.63700000
            [low] => 2.41700000
            [mfe_pct] => 5.48
            [mae_pct] => 3.13
            [mfe_mae_ratio] => 1.75
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T08:39:49-04:00
            [end_at] => 2025-09-22T15:39:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.58200000
            [high_after] => 2.63700000
            [low_before] => 2.44700000
            [low_after] => 2.41700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)